{"id":"W6962047403","doi":"10.15468/dl.szxnj3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Character (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001108913,0.001979048,0.001689928,0.005502305,0.00107845,0.002807299,0.002974127,0.002033884,0.1817241],"category_scores_gemma":[0.006609804,0.00100645,0.001160658,0.01080714,0.0004667633,0.002499608,0.002736465,0.002049465,0.2445954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622247,"about_ca_system_score_gemma":0.002446461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138545,"about_ca_topic_score_gemma":0.03506269,"domain_scores_codex":[0.9988361,0.0001552195,0.0001512927,0.0004062997,0.0002635156,0.0001875044],"domain_scores_gemma":[0.9973002,0.0007734693,0.0002520551,0.0007089531,0.0006585907,0.0003067532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002692903,0.000009710522,0.000327706,0.0005012925,0.00001405101,0.0000138669,0.00002352401,0.000107545,0.0001062996,0.0003769664,0.99714,0.001352061],"study_design_scores_gemma":[0.00006294473,0.000006554577,0.001588155,0.0001876763,0.00001394971,0.00003506815,0.00006893186,0.0001242496,0.0001703609,0.000747945,0.9969773,0.00001687744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003455929,0.00002454951,0.00004661104,0.00003229706,0.00001103327,0.000004628332,0.9988542,0.0003593937,0.0006328054],"genre_scores_gemma":[0.0001423438,0.00003231667,0.0001953232,0.00004208137,0.000003241759,0.00003865741,0.9988976,0.0001720162,0.0004764909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8182759,"threshold_uncertainty_score":0.6079277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}